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Conversational Artificial Intelligence
book

Conversational Artificial Intelligence

by Romil Rawat, Rajesh Kumar Chakrawarti, Sanjaya Kumar Sarangi, Anand Rajavat, Mary Sowjanya Alamanda, Kotagiri Srividya, K. Sakthidasan Sankaran
March 2024
Intermediate to advanced content levelIntermediate to advanced
800 pages
28h 48m
English
Wiley-Scrivener
Content preview from Conversational Artificial Intelligence

22Automatic Speech Recognition Design Modeling

Babu Rao.K1*, Bhargavi Mopuru2, Malik Jawarneh3, José Luis Arias-Gonzáles4, Samuel-Soma M. Ajibade5 and P. Prabhu6

1Department of CSE, Koneru Lakshmaiah Education Foundation, Hyderabad, India

2Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India

3Faculty of Computing Sciences, Gulf College, Al-Khuwair, Oman

4University of British Columbia, Lima, Peru

5Department of Computer Engineering, Istanbul Ticaret University, Istanbul, Turkey

6Directorate of Distance Education, Alagappa University, Karaikudi, Tamilnadu, India

Abstract

The term “automatic speech recognition” refers to the procedure by which an auditory signal of spoken words can be converted into text. Voice recognition is another term that may be used to describe this process in its simplest form. The challenging nature of automatic speech or voice recognition by a computer system can be attributed to a variety of contributing factors. Variation in the source, variation in the auditory surroundings, variation in the speaker’s physical and emotional condition, variation in the speaking rate, and variance in the speaker’s socio-linguistic background are all examples of these elements. This article presents a feature selection and machine learning-based automatic speech recognition system. Noise from speech is removed using least mean square adaptive algorithm. Then, feature selection is performed using Relied algorithm. It helps in improving ...

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Publisher Resources

ISBN: 9781394200566Purchase Link